Abstraction Layers
Abstraction Layers refer to the concept of hiding complexity by creating layers of abstraction that allow users to interact with a system at a higher level of understanding. In the context of Data Science and Artificial Intelligence, abstraction layers are used to simplify the process of working with complex data and algorithms. This is achieved by creating layers of abstraction that hide the underlying complexity of the data and algorithms, allowing users to work with them at a higher level of understanding. Abstraction layers are commonly used in machine learning frameworks, where they allow users to work with pre-built models and algorithms without needing to understand the underlying code. They are also used in data visualization tools, where they allow users to create visualizations without needing to understand the underlying data structures and algorithms.
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